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Stuart, Elizabeth A.; Rubin, Donald B. – Journal of Educational and Behavioral Statistics, 2008
When estimating causal effects from observational data, it is desirable to approximate a randomized experiment as closely as possible. This goal can often be achieved by choosing a subsample from the original control group that matches the treatment group on the distribution of the observed covariates. However, sometimes the original control group…
Descriptors: Control Groups, Prevention, Program Effectiveness, Observation